Effect of an Isoenergetic Traditional Mediterranean Diet on the High-Density Lipoprotein Proteome in Men with the Metabolic Syndrome
Bibliographic record
Abstract
BACKGROUND/AIMS: The objective of this preliminary study was to examine the impact of the Mediterranean diet (MedDiet) on the high-density lipoprotein (HDL) proteome in men with the metabolic syndrome (MetS). METHODS: Twenty-six men with the MetS first consumed a standardized baseline North American isoenergetic control diet (5 weeks) and then consumed an isoenergetic MedDiet (5 weeks), both in full feeding condition. The HDL fraction was isolated by ultracentrifugation at the end of each diet and the HDL proteome assessed by isobaric tags for relative and absolute quantitation and mass spectrometry. RESULTS: Of all proteins identified within HDL, only 3 showed significant changes in relative abundance after the MedDiet versus the control diet, including a reduction in inflammation-related inter-α-trypsin inhibitor heavy chain H4 (fold change: 0.62) and hemoglobin subunits α (fold change: 0.40) and β (fold change: 0.46). Other HDL-bound proteins associated with functions related to lipid metabolism/cholesterol homeostasis, oxidation, coagulation, complement activation and immunity were unchanged after consumption of the MedDiet for 5 weeks. CONCLUSIONS: Changes in the HDL proteome may explain, at least partly, the well-known anti-inflammatory effect ascribed to the MedDiet. Otherwise, short-term consumption of the MedDiet seems to have little impact on other features of the HDL proteome in men with the MetS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".